Abstract
Objective: To evaluate the predictive value of alarm symptoms for specified non-cancer diagnoses and cancer diagnoses in primary care. Design: Cohort study using the general practice research database. Setting: 128 general practices in the UK contributing data, 1994-2000. Participants: 762 325 patients aged 15 or older. Main outcome measures: Up to 15 pre-specified, noncancer diagnoses associated with four alarm symptoms (haematuria, haemoptysis, dysphagia, rectal bleeding) at 90 days and three years after the first recorded alarm symptom. For each outcome analyses were implemented separately in a time to event framework. Data were censored if patients died, left the practice, or reached the end of the study period. Results: We analysed data on first episodes of haematuria (11 108), haemoptysis (4812), dysphagia (5999), or rectal bleeding (15 289). Non-cancer diagnoses were commonin patients who presented with alarm symptoms. The proportion diagnosed with either cancer or noncancer diagnoses generally increased with age. In patients presenting with haematuria, the proportions diagnosed with either cancer or non-cancer diagnoses within 90 days were 17.5% (95% confidence interval 16.4% to 18.6%) in women and 18.3% (17.4% to 19.3%) in men. For the other symptoms the proportions were 25.7% (23.8% to 27.8%) and 24% (22.5% to 25.6%) for haemoptysis, 17.2% (16% to 18.5%) and 22.6% (21% to 24.3%) for dysphagia, and 14.5% (13.7% to 15.3%) and 16.7% (15.8% to 17.5%) for rectal bleeding. Conclusion: Clinically relevant diagnoses are made in a high proportion of patients presenting with alarm symptoms. For every four to seven patients evaluated for haematuria, haemoptysis, dysphagia, or rectal bleeding, relevant diagnoses will be identified in one patient within 90 days.
| Original language | English |
|---|---|
| Pages (from-to) | 491-493 |
| Number of pages | 3 |
| Journal | BMJ (Online) |
| Volume | 339 |
| Issue number | 7719 |
| DOIs | |
| Publication status | Published - 29 Aug 2009 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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